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# Data Engineer

- **Company:** Royal London
- **Location:** Nether Alderley, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Database, Continuous Integration, Python (Programming Language), Scrum Methodology, DataOps, SQL Databases, Pyspark, Machine Learning Operations, AIOps, Data Pipelines, Powerapps, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.careerjet.co.uk/job/gb74ae6af6bdc64d0e95eed7fc7d96077b/eaa

## About the Role

You'll be an established Senior Data Engineer who is comfortable providing technical leadership, influencing standards and helping to shape a developing operational capability. You'll also bring:

 * Strong experience with SQL, Python and PySpark.
 * Experience across on-premises and cloud-based data environments.
 * Knowledge of SQL Server technologies and CI/CD best practice.
 * Experience of service management and incident management.
 * Experience working in Agile delivery environments.
 * A collaborative approach to coaching, mentoring and supporting others.
 * An inquisitive mindset and enthusiasm for emerging AI technologies.

It would be great if you also had

 * Experience with Databricks.
 * Experience with Azure or AWS.
 * Exposure to MLOps or AI Operations.
 * Experience with Power Apps or the wider Power Platform.
 * Experience in financial services.

## Description

We're looking for a Senior Data Engineer to join our evolving Data & AI Operations team within our Group Data & AI Office. This is an opportunity to combine hands-on engineering expertise with operational leadership, helping us strengthen the platforms and practices that support data, AI and automation across Royal London.
You'll play an important role in shaping standards, improving services and supporting emerging capabilities across Data-Ops, AI-Ops and MLOps. Alongside solving complex technical challenges, you'll help colleagues grow through coaching, mentoring and clear technical direction.
What you'll do

 * Set standards and promote best practice across Data & AI Operations.
 * Lead continuous improvement, including optimising long-running data pipelines and operational processes.
 * Support DataOps, AIOps and MLOps activities across the team.
 * Oversee the operational monitoring and governance of AI solutions, including emerging agentic AI capabilities.
 * Support the implementation and ongoing optimisation of Databricks Genie and wider AI tooling.
 * Lead service and incident management activities and contribute to change impact forums.
 * Support sprint planning and workload management in an Agile environment.
 * Coach and mentor junior colleagues and associate-level engineers.